BDEPEND=>=dev-python/numpy-1.17.0[python_targets_python3_11(-)?] >=dev-python/scipy-1.6.3[python_targets_python3_11(-)?] >=dev-python/cython-0.29.23[python_targets_python3_11(-)?] >=dev-python/pandas-1.0.0[python_targets_python3_11(-)?] >=dev-python/scikit-learn-0.24.0[python_targets_python3_11(-)?] >=dev-python/psutil-5.0.0[python_targets_python3_11(-)?] dev? ( dev-python/black[python_targets_python3_11(-)?] ) dev? ( dev-python/ruff[python_targets_python3_11(-)?] ) dev? ( dev-python/pytest[python_targets_python3_11(-)?] ) python_targets_python3_11? ( dev-lang/python:3.11 ) >=dev-python/gpep517-15[python_targets_python3_11(-)?]
DEFINED_PHASES=compile configure install prepare test unpack
DESCRIPTION=SSMS is a package collecting simulators and training data generators for a bunch of generative models of interest in the cognitive science / neuroscience and approximate bayesian computation communities
EAPI=8
HOMEPAGE=https://github.com/AlexanderFengler/ssm-simulators
INHERIT=python-r1 gs-pypi
IUSE=dev python_targets_python3_11
KEYWORDS=~amd64 ~x86
RDEPEND=>=dev-python/numpy-1.17.0[python_targets_python3_11(-)?] >=dev-python/scipy-1.6.3[python_targets_python3_11(-)?] >=dev-python/cython-0.29.23[python_targets_python3_11(-)?] >=dev-python/pandas-1.0.0[python_targets_python3_11(-)?] >=dev-python/scikit-learn-0.24.0[python_targets_python3_11(-)?] >=dev-python/psutil-5.0.0[python_targets_python3_11(-)?] dev? ( dev-python/black[python_targets_python3_11(-)?] ) dev? ( dev-python/ruff[python_targets_python3_11(-)?] ) dev? ( dev-python/pytest[python_targets_python3_11(-)?] ) python_targets_python3_11? ( dev-lang/python:3.11 )
REQUIRED_USE=|| ( python_targets_python3_11 )
RESTRICT=test
SLOT=0
SRC_URI=https://files.pythonhosted.org/packages/38/7e/44d299c52514c5f0476eb3cfac4b5dd69924a8a31c968b0ecbab8d8c9c0f/ssm-simulators-2.tar.gz
_eclasses_=out-of-source-utils	dbf9e34ee8964084651e25907fa8f52c	multibuild	4650a65187015567b4e041bb9bfdb364	multiprocessing	1e32df7deee68372153dca65f4a7c21f	toolchain-funcs	a0b29008c671a362b505f96fa80ce9c0	python-utils-r1	8a006695bc0db22490452dd06914dda5	python-r1	0e15b2ab9cfc87d7474678201d6bca38	flag-o-matic	a7afe42e95fb46ce9691605acfb24672	multilib	b2a329026f2e404e9e371097dda47f96	ninja-utils	2df4e452cea39a9ec8fb543ce059f8d6	gs-distutils-r1	2d17b343ea8be9931b076b8dffaab9d2	g-sorcery	692c9ad583c66d03e7c0e8b3b106a435	gs-pypi	1ce6ce880db2f1f1e7842a13bd058366
_md5_=838c1712b30dea032d6c44da93fa2a4e